相关疑难解决方法(0)

TL; DR如何在没有重建的情况下将ATLAS/MKL链接到现有的Numpy.

我用Numpy用大矩阵计算,我发现它非常慢,因为Numpy只使用1个核心进行计算.经过大量的搜索,我发现我的Numpy没有链接到像ATLAS/MKL这样的优化库.这是我的numpy配置:

>>>import numpy as np
>>>np.__config__.show()
blas_info:
    libraries = ['blas']
    library_dirs = ['/usr/lib']
    language = f77
lapack_info:
    libraries = ['lapack']
    library_dirs = ['/usr/lib']
    language = f77
atlas_threads_info:
    NOT AVAILABLE
blas_opt_info:
    libraries = ['blas']
    library_dirs = ['/usr/lib']
    language = f77
    define_macros = [('NO_ATLAS_INFO', 1)]
atlas_blas_threads_info:
  NOT AVAILABLE
openblas_info:
  NOT AVAILABLE
lapack_opt_info:
    libraries = ['lapack', 'blas']
    library_dirs = ['/usr/lib']
    language = f77
    define_macros = [('NO_ATLAS_INFO', 1)]
atlas_info:
  NOT AVAILABLE
lapack_mkl_info:
  NOT AVAILABLE
blas_mkl_info:
  NOT AVAILABLE
atlas_blas_info:
  NOT AVAILABLE
mkl_info: …